Smart Data Collective

MAY 17, 2021

A critical component of smarter data-driven operations is commercial IoT or IIoT, which allows for consistent and instantaneous fleet tracking. The global IoT fleet management market is expected to reach $17.5 Predictive models, estimates and identified trends can all be sent to the project management team to speed up their decisions.

Big Data 99

Big Data Cost-Benefit IoT Machine Learning 99

AWS Big Data

NOVEMBER 14, 2023

NHL EDGE technology in the puck and players’ sweaters (jerseys) generate thousands of data points every second for the NHL, which can be analyzed by AWS to predict likely outcomes for key events like face-offs. Customers with real-time streaming data strategy are at the cutting edge of providing innovative products with generative AI.

IoT 55

IoT Data-driven Data Lake Data Strategy 55

Rocket-Powered Data Science

JULY 6, 2021

Customer purchase patterns, supply chain, inventory, and logistics represent just a few domains where we see new and emergent behaviors, responses, and outcomes represented in our data and in our predictive models. 5) The emergence of Edge-to-Cloud architectures clearly began pushing Industry 4.0 will look like). will look like).

Data-driven 279

Data-driven Machine Learning IoT Deep Learning 279

IBM Big Data Hub

JULY 5, 2023

In the IoT era—with everything from valves to vehicles connected by sensors and systems—maintenance operators now have the opportunity to incorporate advanced analytics and artificial intelligence (AI) into everything they do.

Strategy 57

Strategy Management IoT Cost-Benefit 57

CIO Business Intelligence

AUGUST 15, 2023

But the event yielded an even bigger result in form of PowerInsights, an interactive geospatial visualization, analytics, and AI tool that helps the company identify potential new customers and offer other new market opportunities. Oshkosh tracks manufacturing assets with IoT Organization: Oshkosh Corp. Anu Khare / Oshkosh Corp.

IT 98

IT Manufacturing IoT Cost-Benefit 98

Alation

APRIL 14, 2022

This provides the facility a time or event for a job to run and offers useful post-run information. They strove to ramp up skills in all manner of predictive modeling, machine learning, AI, or even deep learning. Supports the ability to interact with the actual data and perform analysis on it. Scheduling. Target Matching.

Metadata 59

Metadata Data Governance Modeling Data-driven 59

O'Reilly on Data

SEPTEMBER 11, 2019

Our call for speakers for Strata NY 2019 solicited contributions on the themes of data science and ML; data engineering and architecture; streaming and the Internet of Things (IoT); business analytics and data visualization; and automation, security, and data privacy. If anything, this focus has shifted to the ML or predictive model.

IoT 20

IoT Big Data Data Warehouse Uncertainty 20

Rocket-Powered Data Science

OCTOBER 6, 2023

The point is that the 100% association between the event and the preceding condition has no special predictive or prescriptive power. In statistical terms, the joint probability of event Y and condition X co-occurring, designated P(X,Y), is essentially the probability P(Y) of event Y occurring.

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Diagnostic Analytics 157

datapine

NOVEMBER 27, 2019

That way, any unexpected event will be immediately registered and the system will notify the user. However, businesses today want to go further and predictive analytics is another trend to be closely monitored. The predictive models, in practice, use mathematical models to predict future happenings, in other words, forecast engines.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

O'Reilly on Data

MARCH 24, 2020

This need will grow as smart devices, IoT, voice assistants, drones, and augmented and virtual reality become more prevalent. The fact that business leaders are focused on predictive models and deep learning while data workers spend most of their time on data preparation is a cultural challenge, not a technical one.

Machine Learning 346

Machine Learning Statistics Data Quality Modeling 346